[Feature](bangc-ops): box_iou_rotated support nan and inf.

[DanieeelLiu]

Thanks for your contribution and we appreciate it a lot.

1. Motivation

Box_iou_rotated support nan/inf.

2. Modification

Please briefly describe what modification is made in this pull request, and indicate where to make the modification.

3. Test Report

If you want to know how to do operator testing, you can see GTest-User-Guide-zh.

3.1 Modification Details

3.2 Accuracy Test

Platform：MLU370 & MLU590

cases	status
nan/inf	PASSED 80 test cases from 1 test suite ran.
release_test	PASSED 28 test cases from 1 test suite ran.
release_temp	PASSED 21 test cases from 1 test suite ran.

3.3 Performance Test

See MLU-OPS Performance Acceptance Standard for details.

Platform：MLU370

Mlu_hardware_time(us)	Mlu_hardware_time_baseline(us)	time_improve_percent	Data_type	Shape	params
107	106.33	-0.63%	FP32	{'input_dim': [[32, 5], [32, 5]]}, {'output_dim': [[32]]}	{'mode': 1, 'aligned': True}
299	298	-0.34%	FP32	{'input_dim': [[640, 5], [640, 5]]} {'output_dim': [[640]]}	{'mode': 1, 'aligned': True}
4146.24	4145.01	-0.03%	FP32	{'input_dim': [[2400, 5], [2400, 5]]} {'output_dim': [[2400]]}	{'mode': 1, 'aligned': True}
17907.01	17903	-0.02%	FP32	{'input_dim': [[18430, 5], [18430, 5]]} {'output_dim': [[18430]]}	{'mode': 1, 'aligned': True}
20784	20778.83	-0.02%	FP32	{'input_dim': [[38000, 5], [38000, 5]]} {'output_dim': [[38000]]}	{'mode': 1, 'aligned': True}
218	217	-0.46%	FP32	{'input_dim': [[160, 5], [160, 5]]} {'output_dim': [[160]]}	{'mode': 1, 'aligned': True}
142.13	142	-0.09%	FP32	{'input_dim': [[260, 5], [260, 5]]} {'output_dim': [[260]]}	{'mode': 1, 'aligned': True}
250	249	-0.40%	FP32	{'input_dim': [[570, 5], [570, 5]]} {'output_dim': [[570]]}	{'mode': 1, 'aligned': True}
347	346	-0.29%	FP32	{'input_dim': [[2048, 5], [2048, 5]]} {'output_dim': [[2048]]}	{'mode': 1, 'aligned': True}
2278.03	2045.490062	-0.10%	FP32	{'input_dim': [[18432, 5], [18432, 5]]} {'output_dim': [[18432]]}	{'mode': 1, 'aligned': True}
2047.449933	2199.03	-3.59%	FP32	{'input_dim': [[250, 5], [5, 5]]} {'output_dim': [[250, 5]]}	{'mode': 1, 'aligned': false}

Platform：MLU590

Mlu_hardware_time(us)	Mlu_hardware_time_baseline(us)	time_improve_percent	Data_type	Shape	params
88.83	89.12	0.33%	FP32	{'input_dim': [[32, 5], [32, 5]]}, {'output_dim': [[32]]}	{'mode': 1, 'aligned': True}
244.01	245	0.40%	FP32	{'input_dim': [[640, 5], [640, 5]]} {'output_dim': [[640]]}	{'mode': 1, 'aligned': True}
1155	1155.18	0.02%	FP32	{'input_dim': [[2400, 5], [2400, 5]]} {'output_dim': [[2400]]}	{'mode': 1, 'aligned': True}
23706.01	23705.99	0%	FP32	{'input_dim': [[18430, 5], [18430, 5]]} {'output_dim': [[18430]]}	{'mode': 1, 'aligned': True}
13031.18	13031.03	0%	FP32	{'input_dim': [[38000, 5], [38000, 5]]} {'output_dim': [[38000]]}	{'mode': 1, 'aligned': True}
177.02	178	0.55%	FP32	{'input_dim': [[160, 5], [160, 5]]} {'output_dim': [[160]]}	{'mode': 1, 'aligned': True}
116	117	0.85%	FP32	{'input_dim': [[260, 5], [260, 5]]} {'output_dim': [[260]]}	{'mode': 1, 'aligned': True}
204.04	205	0.47%	FP32	{'input_dim': [[570, 5], [570, 5]]} {'output_dim': [[570]]}	{'mode': 1, 'aligned': True}
189	190	0.53%	FP32	{'input_dim': [[2048, 5], [2048, 5]]} {'output_dim': [[2048]]}	{'mode': 1, 'aligned': True}
642.03	643.1	0.17%	FP32	{'input_dim': [[18432, 5], [18432, 5]]} {'output_dim': [[18432]]}	{'mode': 1, 'aligned': True}
2066	2092.87	4.49%	FP32	{'input_dim': [[250, 5], [5, 5]]} {'output_dim': [[250, 5]]}	{'mode': 1, 'aligned': false}

3.4 Summary Analysis

Please give a brief overview here, if you want to note and summarize the content.